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Sum vs Reduce vs forOf
(version: 0)
Comparing performance of:
lodash sum vs javascript reduce vs for of
Created:
2 years ago
by:
Guest
Go to the latest result
HTML Preparation code:
<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>
Tests:
lodash sum
const array = [4381, 1252, 35, 3456, 2726, 5553, 428, 2780, 4858, 8675, 446, 1426, 2864, 2235, 3320, 1561, 876, 8846, 122, 8076, 3440, 7604, 6486, 6725, 9840, 4568, 7817, 6310, 8477, 6835, 4011, 4762, 2358, 7583, 2376, 80, 5057, 8005, 8921, 3547, 7172, 4627, 698, 1796, 9368, 4778, 8412, 9195, 1278, 7992, 2091, 8025, 8586, 8344, 8380, 9398, 8652, 8613, 2789, 1044, 2711, 6886, 2021, 4682, 5356, 4944, 9344, 3863, 8705, 9233, 6525, 4933, 6252, 4408, 2885, 9206, 900, 8021, 7225, 866, 3048, 2005, 4913, 2632, 2595, 882, 4697, 7561, 7455, 2, 8567, 9786, 845, 7502, 7343, 7077, 5132, 5177, 4042, 1608]; _.sum(array)
javascript reduce
const array = [4381, 1252, 35, 3456, 2726, 5553, 428, 2780, 4858, 8675, 446, 1426, 2864, 2235, 3320, 1561, 876, 8846, 122, 8076, 3440, 7604, 6486, 6725, 9840, 4568, 7817, 6310, 8477, 6835, 4011, 4762, 2358, 7583, 2376, 80, 5057, 8005, 8921, 3547, 7172, 4627, 698, 1796, 9368, 4778, 8412, 9195, 1278, 7992, 2091, 8025, 8586, 8344, 8380, 9398, 8652, 8613, 2789, 1044, 2711, 6886, 2021, 4682, 5356, 4944, 9344, 3863, 8705, 9233, 6525, 4933, 6252, 4408, 2885, 9206, 900, 8021, 7225, 866, 3048, 2005, 4913, 2632, 2595, 882, 4697, 7561, 7455, 2, 8567, 9786, 845, 7502, 7343, 7077, 5132, 5177, 4042, 1608]; array.reduce((a,b) => a+b)
for of
const array = [4381, 1252, 35, 3456, 2726, 5553, 428, 2780, 4858, 8675, 446, 1426, 2864, 2235, 3320, 1561, 876, 8846, 122, 8076, 3440, 7604, 6486, 6725, 9840, 4568, 7817, 6310, 8477, 6835, 4011, 4762, 2358, 7583, 2376, 80, 5057, 8005, 8921, 3547, 7172, 4627, 698, 1796, 9368, 4778, 8412, 9195, 1278, 7992, 2091, 8025, 8586, 8344, 8380, 9398, 8652, 8613, 2789, 1044, 2711, 6886, 2021, 4682, 5356, 4944, 9344, 3863, 8705, 9233, 6525, 4933, 6252, 4408, 2885, 9206, 900, 8021, 7225, 866, 3048, 2005, 4913, 2632, 2595, 882, 4697, 7561, 7455, 2, 8567, 9786, 845, 7502, 7343, 7077, 5132, 5177, 4042, 1608]; let result = array[0]; for(let i = 1; i < array.length; i++) { result += array[i]; }
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
Previous results
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Test case name
Result
lodash sum
javascript reduce
for of
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
2 years ago
)
User agent:
Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126.0.0.0 Safari/537.36
Browser/OS:
Chrome 126 on Windows
View result in a separate tab
Embed
Embed Benchmark Result
<iframe src="https://measurethat.net/Embed?id=535957" width="100%" height="500px"></iframe>
javascript reduce
26.1M/s
for of
24.7M/s
lodash sum
3.1M/s
View exact numbers
Test name
Executions per second
✓
javascript reduce
26,107,918 Ops/sec
for of
24,682,736 Ops/sec
lodash sum
3,068,419 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Measuring the performance of different JavaScript algorithms is essential for optimizing code and identifying potential bottlenecks. **Benchmark Definition JSON** The benchmark definition defines three test cases: 1. `Sum vs Reduce vs forOf`: This benchmark compares the execution times of three different approaches to calculate the sum of an array: * Using the `_.sum()` method from the Lodash library. * Using the `reduce()` method provided by JavaScript. * Using a simple `for` loop to iterate through the array and add up its elements. 2. `lodash sum`, `javascript reduce`, and `for of`: These are the actual test names for each of the three approaches defined above. **Options Compared** The benchmark compares the following options: 1. **Lodash Sum**: This option uses the `_.sum()` method from the Lodash library to calculate the sum of the array. 2. **JavaScript Reduce**: This option uses the built-in `reduce()` method provided by JavaScript to calculate the sum of the array. 3. **For Of Loop**: This option uses a simple `for` loop to iterate through the array and add up its elements. **Latest Benchmark Results** The latest benchmark results show that: 1. The Lodash Sum approach performs the worst, with an average execution time of 3068419 seconds per second (sps). 2. The JavaScript Reduce approach performs better than Lodash Sum, but still has a relatively high execution time of 24682736 sps. 3. The For Of Loop approach performs the best, with an average execution time of 26107918 sps. **Conclusion** Based on these results, it appears that the `for` loop approach is the fastest way to calculate the sum of an array in JavaScript, followed closely by the built-in `reduce()` method. The Lodash Sum approach, while convenient and easy to use, is significantly slower than the other two options.
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